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» Information Retrieval in Folksonomies: Search and Ranking
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RIAO
2000
13 years 9 months ago
Allowing users to weight search terms
Informationretrieval systems typically weight the importance of search terms according to document and collection statistics (such as by using tf idf scores, where less commonterm...
Ronald Fagin, Yoëlle S. Maarek
WSDM
2010
ACM
245views Data Mining» more  WSDM 2010»
14 years 5 months ago
Improving Quality of Training Data for Learning to Rank Using Click-Through Data
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
Jingfang Xu, Chuanliang Chen, Gu Xu, Hang Li, Elbi...
HT
2010
ACM
13 years 5 months ago
On the robustness of google scholar against spam
In this poster we present the current results of several experiments in which we analyzed whether spamming Google Scholar is possible. Our results show, it is possible: We ,,impro...
Jöran Beel, Bela Gipp
WWW
2010
ACM
14 years 2 months ago
Generalized distances between rankings
Spearman’s footrule and Kendall’s tau are two well established distances between rankings. They, however, fail to take into account concepts crucial to evaluating a result set...
Ravi Kumar, Sergei Vassilvitskii
SIGIR
2004
ACM
14 years 1 months ago
A joint framework for collaborative and content filtering
This paper proposes a novel, unified, and systematic approach to combine collaborative and content-based filtering for ranking and user preference prediction. The framework inco...
Justin Basilico, Thomas Hofmann